Digital Commons Network^™

Characterization Of Droplet Size And Their Distribution Using Low Operating Conditions In A Rotary Bell Cup Spray-Field Via Shadowgraph, Murad Ali Channa, Mehdi Khiadani, Yasir M. Al-Abdeli

Research outputs 2022 to 2026

This study characterises droplet size and distribution across axial (x/D) and radial (r/D) locations in the spray field of a rotary bell-cup atomizer under low operating conditions. Shadowgraph was used to measure droplet size and distribution at 16 dimensionless locations in both directions. Two low rotational-speed ranges, 3–3.5 krpm (case I) and 8–8.5 krpm (case II), were achieved using shaping-air of 30–100 L/min under turning-air of 50 and 60 L/min, respectively, at a constant flow rate of 0.5 L/min. The Sauter mean droplet diameter ranged from ∼ 45–98 µm in case I and narrowed to ∼ 45–85 µm in case …

Co-Design And Feasibility Testing Of A Midwife-Led Birth Debrief: An Implementation Science Project, Kate Buchanan, Phoebe Backhouse, Leanne Graham, Amy O’Meagher, Sara Bayes

Research outputs 2022 to 2026

Background: The period spanning pregnancy, birth and postpartum is characterised by psychosocial as well as physiological changes: many women experience new or worsening mental ill-health during the perinatal period. Midwives play a critical role in supporting and promoting psychosocial health by providing mental health education, counselling and screening. Often this includes a post-birth conversation, guided reflection, or debrief. Information about the effectiveness and experiences of specific and structured midwife-led birth debrief is scant. Aim: Our study aimed to assess the perceived effectiveness, experiences and implementability of a midwife-led birth debriefing intervention in one Australian maternity unit. Methods: A Type II …

Dataset For Integrity Attacks On Time Synchronized Synchrophasor Data, Taylah Griffiths, Mohiuddin Ahmed, Chadni Islam

Research outputs 2022 to 2026

Phasor measurement units, also known as synchrophasors, are a vital component within smart grids to determine the stability of the grid. These devices send synchrophasor data to phasor data concentrators that collate and analyse the data. Recently, synchrophasor communication data has become beneficial for the research community. However, datasets covering cyberattacks on synchrophasor data are not public. Having access to this data would aid in investigating mitigations against cyberattacks. This paper describes a public specialized dataset, known as ECU-PMU-FDI/TSA. The dataset contains synchrophasor communication data for cybersecurity mitigation testing. Three hours of communication data was captured, from a simulated testbed. …

Progression Of Non-Radiographic To Radiographic Axial Spondyloarthritis: A Risk Model Based On A Chinese Cohort Study, Rui Ying Deng, Xiaojia Xu, Jian Hua Peng, Feng Cai Shen, Yao Gong, Dan Min Wang, Hong Jin Liang, Shu Xin Huang, Zhao Peng Chen, Wen Long Wu, Ze Xin Zheng, Ling Lin, Zhi Duo Hou

Research outputs 2022 to 2026

Objectives: To evaluate the progression from non-radiographic axial spondyloarthritis (nr-axSpA) to radiographic axial spondyloarthritis (r-axSpA) in a Chinese cohort, identify associated risk factors in both clinical and imaging arms, and enable risk stratification based on these factors. Methods: Overall, 572 patients with nr-axSpA were enrolled with a median follow-up of 5 years. Cox proportional hazard regression analyses were conducted to identify potential risk factors associated with the progression from nr-axSpA to r-axSpA in both clinical and imaging arms. A risk-scoring system was then developed by assigning each independent predictor a weight based on its regression coefficient. Patients were subsequently categorized …

Thermophysical Characteristics Evaluation Of Carbon And Metal Oxide-Based Hybrid Phase Change Materials For Thermal Energy Storage Applications, Utpol K. Paul, Md Shahriar Mohtasim, Md Golam Kibria, Barun K. Das

Research outputs 2022 to 2026

Phase change materials (PCM) have limited practical applications due to their low heat conductivity. The main goal of this work is to improve the thermophysical properties of PCM by adding different compositions of hybrid carbon and metal oxide-based nanoparticles for incorporation into hybrid photovoltaic/thermal solar systems to accommodate the built environment and thermal energy storage as a building envelope for thermal comfort. Three types of nanoparticles have been selected including Graphene, Al2O3, and ZnO and synthesized samples with the combinations of 0.5 wt% Al2O3 + 2 wt% ZnO, 0.75 wt% Al2O3 + 2 wt% ZnO, 1 wt% Al2O3 + 2 …

How Leaders Build Employee Trust In Artificial Intelligence: Voice Opportunities, Humility, And Trust Transfer, Jack Mcguire, David De Cremer, Devesh Narayanan

Research Collection Lee Kong Chian School Of Business

Artificial intelligence is increasingly central to organizational work, yet employee trust in AI remains fragile. Although prior research has primarily explained trust in AI through technological characteristics such as transparency, reliability, and accuracy, we argue that trust in AI is also shaped by the social context in which employees encounter these systems. Drawing on affect-as-information theory and social information processing theory, we develop and test a model in which leader-provided voice opportunities reduce employees’ negative affect about AI-related work experiences, thereby enhancing perceptions of leader trustworthiness and, in turn, trust in AI. We further propose that this indirect effect depends …

Harnessing Insect-Derived Oils For Enhanced Efficacy Of Plant-Based Repellents Against Disease-Transmitting Mosquitoes, John Bwire Ochola, Cynthia M. Mudalungu, Hosea O. Mokaya, Xavier Cheseto, Gilvian N. Onsomu, Subramanian Sevgan, Segenet Kelemu, Baldwyn Torto, Chrysantus M. Tanga

All Peer-Reviewed Publications

Mosquito-borne diseases such as malaria, dengue, chikungunya, Zika, and yellow fever pose a growing global health threat, worsened by resistance to synthetic pesticides. This study evaluated insect oils from Schistocerca gregaria, Ruspolia differens, and Macrotermes spp. as adjuvants in plant-based mosquito repellents. The formulations were tested for complete protection time (CPT) against Anopheles gambiae, Aedes aegypti, and Culex quinquefasciatus, and volatile organic compounds (VOCs) emitted from treated volunteers were analyzed. Incorporating insect oils doubled CPT compared to essential oils alone. The most effective blend of Macrotermes oil with Cymbopogon nardus (1:1) achieved CPTs of 3.50 h for An. gambiae, 2.56 …

Individual And Household Factors Associated With Tungiasis In A Marginalized Population In Karamoja, Northeastern Uganda, Lynne Elson, Abneel K. Matharu, Berrick Otieno, Hermann Feldmeier, Charles Waiswa, Amina Abubakar, Jürgen Krücken, Ulrike Fillinger, Francis Mutebi

All Peer-Reviewed Publications

Background: Tungiasis is a neglected tropical skin disease caused by adult female fleas which burrow into the skin of people and animals, causing considerable pain and itching. The distribution of the disease is heterogeneous, with Napak district, Karamoja sub-region of northeastern Uganda having the highest disease burden recorded globally. We aimed to determine the factors associated with this high prevalence to inform future intervention strategies. Methods: We conducted a cross-sectional study to identify factors associated with infection of individual children and adults, and a nested case–control study to identify factors for whole households (families). Infected children were identified through mass-screening …

Producer Organizations, Productivity And Sustainable Intensification Practices In Oil Palm Production, Martin Paul Tabe-Ojong, Abebayehu Girma Geffersa, Kibrom T. Sibhatu

All Peer-Reviewed Publications

Oil palm production is expanding in traditional farming and forested areas, especially in West and Central Africa around the Congo Forest Basin and mostly characterized by declining yields and yield gaps. Due to typically non-binding land access, independent producers tend to prioritize extensification over intensification, which has negative environmental consequences. Sustainable intensification (SI) of smallholder production is a guiding paradigm that aims to increase yields while minimizing negative environmental impacts. In this study, we examine the relationship between producer organizations (POs), sustainable intensification practices (SIPs), namely mulching and intercropping, and oil palm yields in Cameroon. We estimate actual and counterfactual …

Balancing Root-Zone Oxygenation And Rhizosphere Stability: The Impact Of Aeration And Hypoxia On Hydroponic Plant Growth, Christian D. Baker

All Graduate Theses and Dissertations, Fall 2023 to Present

As the global population and food demand continue to increase, growers must look to innovative and sustainable methods for plant cultivation. Hydroponics is a popular method of sustainable plant cultivation where plant roots are suspended over a liquid nutrient solution. Hydroponics uses less water compared to traditional agriculture because there is no evaporation or solution runoff. It also maximizes land use, requires fewer pesticides and herbicides, and enables year-round cultivation in controlled environments. However, indoor hydroponic systems rely on artificial lighting, which has higher energy costs than traditional farming methods. Optimizing growing conditions is therefore critical to ensure long-term economic …

Scalable Quality Assessment Of Ground Motion Records Via Interpretable Deep Learning Architectures, Ali Montazeri Namin

All Graduate Theses and Dissertations, Fall 2023 to Present

Earthquake engineers rely on accurate recordings of ground shaking to design safe and resilient buildings. However, sorting through thousands of these recordings to find the reliable ones and throwing out those ruined by sensor errors or background noise is traditionally done by hand. Because modern seismic networks collect massive amounts of earthquake data every day, this manual checking process is much too slow. To fix this, researchers are turning to artificial intelligence to automatically check the quality of these recordings.

While artificial intelligence offers a fast solution, there are limitations. These computer models can become massive and expensive to run, …

In-Hospital Mortality Patterns And Readmissions In Patients With Chronic Obstructive Pulmonary Disease: An Analysis Of The Role Of Pulmonary Hypertension, Saad Afzal Khan, Trishna Parikh, Adishwar Rao, Akriti Agrawal, Aarohi Parikh, Farah Kazzaz, Sarah Shin, Harry Karmouty-Quintana, Maulin Patel, Kha Dinh, Bela Patel, Bindu Akkanti

Faculty, Staff and Student Publications

Chronic obstructive pulmonary disease (COPD) may be complicated by pulmonary hypertension (PH). We aimed to understand the impact of PH on in-hospital mortality and quantify the 30-day readmission rate among patients with COPD. For this cross-sectional study, we used the Nationwide Readmissions Database from 2017-2020 to identify adults ≥18 years with COPD. Patients were stratified according to PH diagnosis. Baseline characteristics between groups were compared using the Pearson chi-square test and two-sample t-test. Predictors of in-hospital mortality were determined using multivariate logistic regression analysis adjusted for demographics and confounders. The 30-day readmission rate and prevalence of PH subgroups by baseline …

Harnessing Digital Twin (Dt) Technology For Food Security And Climate Resilience In Sub-Saharan Africa (Ssa), Henri E.Z. Tonnang, Francis Chianu, Siyabusa Mkuhlani, Francis Muthoni, John Michael Humphries Choptiany, Franck B.N. Tonle, Bonoukpoe M. Sokame, Mercy Lung’Aho

All Peer-Reviewed Publications

Sub-Saharan Africa (SSA) faces chronic food insecurity despite possessing approximately 60% of the world’s uncultivated arable land. Field trials generate evidence but are costly and insufficiently scaled to address accelerating climate and demographic pressures. Digital twin (DT) technology, defined as the continuous, bidirectional virtual replication of physical systems using real-time data, supports monitoring, modelling, and optimisation of agrifood systems. To our knowledge, however, no published synthesis has examined DT agriculture research through the lens of SSA food systems or smallholder farming realities. A PRISMA-compliant systematic review was conducted across bibliographic databases using a pre-defined Boolean search and adapted PICOS eligibility …

Comparative Performance Of Physiological Vital-Sign Forecasting Under Random And Patient-Wise Splitting Using Deep Learning, Lavanya Vasavi Chittem Reddy

Theses and Dissertations

Physiological vital-sign forecasting estimates future measurements based on recent temporal patterns and can support analysis of continuously recorded monitoring data. This study comparatively evaluated deep feedforward, recurrent, bidirectional recurrent, long short-term memory, and bidirectional long short-term memory architectures for one-step-ahead forecasting of peripheral oxygen saturation, heart rate, and pulse rate. Each model received consecutive observations of peripheral oxygen saturation, heart rate, pulse rate, respiratory rate, and age, while separate single-output models predicted the next value of the selected target.

Random and patient-wise data splitting were compared using identical input definitions, preprocessing procedures, model architectures, and training hyperparameters. The strongest architecture …

Generative Ai Adoption And Solvers' Popularity On Supply-Driven Crowdsourcing Platforms: The Dual Role Of Price Signals, Zimeng Zhu, Carol Hsu, Fiona Fui-Hoon Nah, Na Liu

Research Collection School Of Computing and Information Systems

Purpose – We investigate the effect of solvers’ adoption of Generative AI (GenAI) on their popularity in a supply-driven crowdsourcing platform. We also examine the impact of price signals as well as their heterogeneous impact based on the solvers’ membership duration on the platform. Design/methodology/approach – Our analysis focuses on solvers who adopt GenAI for design-related gigs on the supply-driven crowdsourcing platform. By combining propensity score matching (PSM) with multi-period difference-in-differences (DID), we examine how GenAI adoption impacts solvers’ popularity and how price signals affect this main effect. Findings – Our findings reveal that solvers who adopt GenAI tend to …

The Downstream Effect Of Gender Bias On Academic Performance And Career Aspirations Amongst Female Students In Stem Via Gender-Professional Identity Integration (G-Pii), Chi-Ying Cheng, Shuna Shiann Khoo, Shih-Fen Cheng, Yeow Leong Lee, Vandana Ramachandra Rao

Research Collection School of Social Sciences

Background Gender imbalance in STEM, characterized by a significant underrepresentation of women, remains a significant challenge. Although gender bias is a well-known contributor to women’s attrition from STEM, the psychological mechanisms linking gender bias to departure are less well understood. Our research investigates early antecedents of attrition and the psychological processes that precede leaving the STEM pathway in tertiary education. Drawing upon identity integration research, we propose that perceived gender bias exerts undermines female STEM students’ academic performance and career aspirations by reducing their Gender-Professional Identity Integration (G-PII), a construct that captures individual differences in the perceived compatibility between a …

Sociodemographic And Clinical Factors In Nmosd And Mogad: Disability, Psychiatric Burden, And Disparities, Neha S. Patil

Summer Research Program Abstracts

No abstract provided.

Evaluating The Role Of Perineural Invasion In The Risk Of Local Recurrence Of Cutaneous Melanoma After Adjuvant Radiation Therapy, Riya T. Patel

Summer Research Program Abstracts

No abstract provided.

Biomechanical Gait Analysis To Classify Neurological Gait Scores In A Spina Bifida Sheep Model, Shreya Pandiri

Summer Research Program Abstracts

No abstract provided.

Improving Adhd Screenings Through Quality Improvement, Workflow Optimization, And Evaluation Of A 6-Item Short Form Screening Tool, Paris A. Nix

Summer Research Program Abstracts

No abstract provided.

Environmental Or Occupational Heavy Metal Exposure In The Development And Progression Of End Stage Kidney Disease: A Systematic And Network Meta-Analysis, Lauren Nguyen

Summer Research Program Abstracts

No abstract provided.

The Roddey Mcmillan Record - November 25, 2025, Winthrop University

The RMR 2020-2029

The Roddey McMillan Record (RMR) is Winthrop’s monthly multicultural student publication. The RMR has been a significant voice of the minority population of the Winthrop community since its creation by Gail Harris in April 1986. It promotes awareness and understanding of issues concerning minorities for the prosperity of the entire Winthrop community. The purpose of the RMR is to shine light on the many diverse cultures at Winthrop, focusing on issues, concerns and happenings of those who represent the multicultural community on campus. The Roddey McMillan Record is named after Dr. Cynthia Roddey and Atty, Sheila McMillan. Cynthia Roddey was …

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Thin Sections

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The Benefits And Barriers To Expanding Crna Programs In Michigan, Grace Van Zweden

Honors Theses

The demand for Certified Registered Nurse Anesthetists (CRNAs) and their delivery of safe, high-quality anesthesia care has increased significantly due to nationwide anesthesia provider shortages and the growing reliance on CRNAs to meet healthcare system needs. This demand underscores the importance of expanding nurse anesthesia programs in Michigan and across the United States to support nurses pursuing advanced education and to improve patient access to essential care within their communities. The CRNA profession has evolved over time to meet the changing needs of the healthcare system, and current CRNA programs require applicants to satisfy rigorous and highly specific admission criteria. …

Evaluating Pediatric Surgical Care Delivery Across Settings: National Trends In Ambulatory, Outpatient, And Inpatient Models, Kyle C. Nevitt

Summer Research Program Abstracts

No abstract provided.

Design Of Automatic Security System Based Internet Of Things At The Museum, Rahmat Ageng Yuwana, Nuryake Fajaryati, Ferry Jie

Elinvo (Electronics, Informatics, and Vocational Education)

This research aims to determine the procedures for developing an Internet of Things (IoT)-based Automatic Security System as a security device for museum objects and to test its feasibility based on user feedback in museums. The Design Thinking model used consists of five stages: Empathize (understanding the user’s perspective), Define (gathering information on the encountered problems), Ideate (generating innovative ideas), Prototype (creating a prototype of the obtained ideas, ensuring the functionality of each device feature, and validating the product through expert judgment for feedback and product revision), and Testing (evaluating the system’s feasibility using Usability standards based on ISO/IEC 9241-11, …

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Thinking Out Loud: Distinguishing Overt, Mimed, And Covert Speech Using Stereo-Electroencephalography For Brain-Computer Interfaces, Hasan K. Mubarak

Summer Research Program Abstracts

No abstract provided.

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Thin Sections

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Parental Perceptions Of Child Health And Their Alignment With Clinical Indicators In Overweight Or Obese Low-Income Children, Katherine Moorman-Wolfe

Summer Research Program Abstracts

No abstract provided.